The graph represents a network of 7,324 Twitter users whose tweets in the requested range contained "Reproductive health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 August 2020 at 03:29 UTC.
The requested start date was Monday, 17 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 10-hour, 0-minute period from Monday, 10 August 2020 at 04:00 UTC to Friday, 14 August 2020 at 14:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 7324
Unique Edges : 5367
Edges With Duplicates : 12255
Total Edges : 17622
Number of Edge Types : 5
Tweet : 1138
Retweet : 5520
MentionsInRetweet : 8591
Mentions : 1931
Replies to : 442
Self-Loops : 1190
Reciprocated Vertex Pair Ratio : 0.0280733758994629
Reciprocated Edge Ratio : 0.0546135646687697
Connected Components : 1045
Single-Vertex Connected Components : 450
Maximum Vertices in a Connected Component : 3363
Maximum Edges in a Connected Component : 10608
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.374229
Graph Density : 0.000189134985624324
Modularity : 0.55144
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,324 Twitter users whose tweets in the requested range contained "Reproductive health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 August 2020 at 03:29 UTC.
The requested start date was Monday, 17 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 10-hour, 0-minute period from Monday, 10 August 2020 at 04:00 UTC to Friday, 14 August 2020 at 14:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Reproductive health
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4166] reproductive,health [1757] sexual,reproductive [832] health,rights [730] young,people [700] health,care [454] health,ballot [453] ballot,2020 [451] yes,reproductive [451] more,important [450] thank,kamalaharris Top Word Pairs in Tweet in G1:
[604] reproductive,health [452] health,ballot [451] ballot,2020 [449] thank,kamalaharris [449] kamalaharris,yes [449] yes,reproductive [449] 2020,year [449] year,more [449] more,important [447] votechoice,thank Top Word Pairs in Tweet in G2:
[569] reproductive,health [478] sexual,reproductive [215] adolescent,girls [210] young,people [195] health,rights [171] #youth4globalaction,challenge [117] young,women [112] girls,young [106] social,media [103] human,rights Top Word Pairs in Tweet in G3:
[402] reproductive,health [246] young,people [209] sexual,reproductive [100] health,rights [69] youth,engagement [66] health,services [56] youth,friendly [56] international,youth [56] youth,day [46] day,join Top Word Pairs in Tweet in G4:
[379] reproductive,health [115] sexual,reproductive [47] health,care [32] women's,reproductive [28] health,services [26] health,rights [21] covid,19 [19] women,reproductive [18] reproductive,rights [16] health,issues Top Word Pairs in Tweet in G5:
[413] supremelister,joshuahol [412] joshuahol,decide [412] decide,whether [412] whether,cardi [412] cardi,blessed [412] blessed,cursed [412] cursed,wave [412] wave,conservatives [412] conservatives,rushing [412] rushing,proudly Top Word Pairs in Tweet in G6:
[174] #bayer,seeks [174] seeks,discount [174] discount,concerns [174] concerns,#monsanto [174] #monsanto,#glyphosate [174] #glyphosate,based [174] based,herbicides [174] herbicides,cause [174] cause,#cancer [174] #cancer,several Top Word Pairs in Tweet in G7:
[205] reproductive,health [161] health,rights [132] update,joe [132] joe,biden [132] biden,announced [132] announced,kamala [132] kamala,harris [132] harris,running [132] running,mate [132] mate,mean Top Word Pairs in Tweet in G8:
[173] reproductive,health [158] sexual,reproductive [109] young,people [65] health,rights [32] people,sexual [20] access,sexual [18] 2nd,regional [18] youth,conference [18] conference,sexual [16] regional,youth Top Word Pairs in Tweet in G9:
[91] reproductive,health [86] sexual,reproductive [83] menstruation,sexual [83] health,major [83] major,point [83] point,focus [83] focus,sensitized [83] sensitized,over [83] over,200girls [83] 200girls,eastern Top Word Pairs in Tweet in G10:
[40] harris,biden [40] biden,death [40] death,knell [40] knell,pro [40] pro,life [40] life,laws [40] laws,sen [40] sen,kamala [40] kamala,harris [40] harris,calif Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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